DATA ANALYTICS AND VISUALIZATION

Data has become a critical asset to nearly every organization. The powerful insights that data analysis and visualization provide is transforming the way organizations operate and how decisions are made. The technology boom of the last 20 years has generated more information than organizations know what to do with, and they need people to analyze the data and put it to use to make solid business decisions.
The World Economic Forum listed data analyst as one of the most in-demand job categories across all industries.
This Data Analysis and Visualization Fundamentals program enables candidate to take the first steps towards understanding the essentials of data analysis and provides the technical skills, knowledge, tools, and hands-on practice experience to begin your career path in data analytics and becoming an industry expert. No prior programming knowledge or any data analytics knowledge is required.

Courses in this program

1. Data Analytics Basics for Everyone
2. Introduction to Data Analysis using Excel
3. Data Visualization and Building Dashboards with Excel and Cognos

What you will learn

• Define Data Analytics and the key steps in the Data Analytics process.
• Describe the key components of a modern data ecosystem.
• Discover the various career opportunities available to Data Analysts.
• Describe the steps you need to take to extract raw data from disparate sources, transform raw data into analytics-ready data, and load data into data repositories for use in analytics and reporting.
• Describe the process, tools, and techniques required for data wrangling, data cleaning, data mining, and data visualization.
• Perform data wrangling, data cleansing, and data analysis tasks using spreadsheets like Microsoft Excel.
• Analyze data using filter, sort, and pivot features within spreadsheets like Microsoft Excel.
• Design data visualizations using charts, graphs, and plots with tools like Microsoft Excel.
• Design and create dashboards in a cloud platform using Cognos Analytics.